Skip to main content
Log in

Calculation of Anisotropy and Symmetry Coefficients of Corneal Nerve Orientation Based on Automated Recognition of Digital Confocal Images

  • Published:
Biomedical Engineering Aims and scope

A new principle of morphometric description of corneal nerves that can be used for diagnosing several systemic neuropathies and as a criterion of the state of local corneal innervation is described. The new principle satisfies the following conditions: objectivity, independence on the method of confocal imaging of the neural network, tolerance to conditions of local illumination and transparency of the media, as well as minimum dependence on the choice of confocal imaging point within the cornea. All measurements were completely automated. Based on these measurements, Liner 1.1 software was developed. The analysis of images obtained by Confoscan 4 (Nidec) and HRT III instruments with a special corneal module proved functionality of the technique. Additionally, it was found that despite statistical similarity of the results and principle possibility to use the Confoscan 4 for image analysis, the HRT III provides better resolution and correspondingly greater completeness of analysis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Stein G.I., Confocal Microscopy [in Russian], IC Russian Academy of Sciences, St. Petersburg (2007), pp. 6-10.

    Google Scholar 

  2. Minsky M., Scanning, 10, 128-138 (1998).

    Article  Google Scholar 

  3. Tavakoli M., Hossain P., Malik R., Clin. Ophthalmol., No. 2, 435-445 (2008).

  4. Avetisov S.E., Egorova G.B., Fedorov A.A., et al., Vestnik Oftalmol., No. 3, 3-5 (2008).

  5. Tkachenko N.V., Astakhov Yu.S., Oftalmol. Vedomosti, 2, No. 1, 82-89 (2009).

    Google Scholar 

  6. Jalbert I., Stapleton F., Papas E., et al., Br. J. Ophthalmol., 87, No. 2, 225-236 (2003).

    Article  Google Scholar 

  7. Malik R., Kallinikos P., Abbott C., et al., Diabetologia, 46, 683-688 (2003).

    Google Scholar 

  8. Oliveira-Soto L., Efron N., Cornea, No. 20, 374-384 (2010).

  9. Edwards K., Pritchard N., Vagenas D., Russell A., Malik R.A., Efron N., Diabetic Medicine, 31, No. 10, 1205-1209 (2014).

    Article  Google Scholar 

  10. Il’yasova N. Yu., Komput. Optika, 37, No. 4, 511-535 (2013).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Je. Avetisov.

Additional information

Translated from Meditsinskaya Tekhnika, Vol. 49, No. 3, May-Jun., 2015, pp. 23-25.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Avetisov, S.J., Novikov, I.A., Mahotin, S.S. et al. Calculation of Anisotropy and Symmetry Coefficients of Corneal Nerve Orientation Based on Automated Recognition of Digital Confocal Images. Biomed Eng 49, 155–159 (2015). https://doi.org/10.1007/s10527-015-9519-5

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10527-015-9519-5

Keywords

Navigation